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Just as the physical Ecological, physical and chemical time series the biological AWI time series are also generated at pretty much all AWI sites and encompass almost all components of the marine foodweb from bacteria to fish. The data are collected useing a multitude of methods from counts to automated sensors and molecular methods to capture the full diversity local communities.

Collectively and individually our time series deliver vital baseline data for the evaluation of future climate change related impacts on marine ecosystems but also help to understand fundamental ecosystem processes in often not easily accesible geographic areas.

All our time series are also integral components of a large number of national and international collaborations in EU projects and Boards and organizations such as ICES and SCOR. 

are an essential tool for the study of climate-related topics. They can document long-term changes in the environment and also serve as background data for experimental studies. The main goals are the quality-controlled collection, archival and analysis of thedifferent parameters.

Helgoland has a long tradition in ecological time series research and the scientists of the Biological Station Helgoland produce a number of extremely valuable time series that have been used for scientific research by scientists around the world. The core time series are known as Helgoland Roads and comprise phytoplankton and zooplankton as well as physico-chemical parameters. But several shorter time series and spatio-temporal datasets also exist and Helgoland scientists are jointly setting standards by linking these data through detailed documentation , quality control and data management to facilitate detailed analyses long-term ecological change and their societal consequences.

The most important Helgoland Roads time series are described below.

Helgoland Roads forms an important component of the overall pool of the AWIs time series which comprises 30 individual time series resourcees ranging from physical and chemical time series via periglacial to a range of biodiversity data sets (see LTO@AWI)